Towards Methodology for Strategic Innovations in Translational and Computational Neuroscience in Psychiatry -- Molecular Methods in Neuroscience and Psychiatry -- Towards the Use of Research and Diagnostic Algorithmic Rules (RADAR) to Assess the Recurrence of Illness and Major Dysmood Disorder Features: The Diagnosis “Bipolar Disorder” is Useless -- The Concept of Event-Related Oscillations: A Spotlight on Extended Applications -- Quantitative EEG Analysis: Introduction and Basic Principles -- QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response -- Quantitative EEG in Patients with Schizophrenia -- Computational Anatomy Going Beyond Brain Morphometry -- Nonlinear Methods for the Investigation of Psychotic Disorders -- Carving Out the Path to Computational Biomarkers for Mental Disorders -- Neuroimaging Methods Investigating Anterior Insula Alterations in Schizophrenia and Mood Disorders -- Magnetic Resonance Spectroscopy -- The Effect of Exogenous and Endogenous Parameters on Group Resting-State Effective Connectivity and BOLD Signal -- Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders -- Multimodal Integration in Psychiatry: Clinical Potential and Challenges -- Premises of Computational Neuroscience: Machine Learning Tools and Multivariate Analyses.

This volume looks at the latest advancements in imaging neuroscience methods using magnetic resonance imaging (MRI) and electroencephalography (EEG) to study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related potentials. Part Four discusses the advances and innovations made in computational anatomy, and Part Five addresses the challenges faced by researchers prior to the computational neuroscience to find wider translational applications in the field of psychiatry and mental health. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and comprehensive, Computational Neuroscience is a valuable tool for researchers in the psychiatry and mental health fields who want to learn more about ways to incorporate computational approaches into utility and validity of clinical methods.

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